| Literature DB >> 33261090 |
Tiff-Annie Kenny1,2, Matthew Little3, Tad Lemieux4, P Joshua Griffin5,6, Sonia D Wesche7, Yoshitaka Ota5,8, Malek Batal9,10, Hing Man Chan11, Melanie Lemire1,2,12.
Abstract
Indigenous Peoples in high-income countries experience higher burdens of food insecurity, obesity, and diet-related health conditions compared to national averages. The objective of this systematic scoping review is to synthesize information from the published literature on the methods/approaches, findings, and scope for research and interventions on the retail food sector servicing Indigenous Peoples in high-income countries. A structured literature search in two major international databases yielded 139 relevant peer-reviewed articles from nine countries. Most research was conducted in Oceania and North America, and in rural and remote regions. Several convergent issues were identified across global regions including limited grocery store availability/access, heightened exposure to unhealthy food environments, inadequate market food supplies (i.e., high prices, limited availability, and poor quality), and common underlying structural factors including socio-economic inequality and colonialism. A list of actions that can modify the nature and structure of retailing systems to enhance the availability, accessibility, and quality of healthful foods is identified. While continuing to (re)align research with community priorities, international collaboration may foster enhanced opportunities to strengthen the evidence base for policy and practice and contribute to the amelioration of diet quality and health at the population level.Entities:
Keywords: affordability; consumer; food and nutrition; food environment; food price; food security; food supply; health equity; indigenous peoples; obesity
Year: 2020 PMID: 33261090 PMCID: PMC7730644 DOI: 10.3390/ijerph17238818
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Map of countries with high income economies and Indigenous populations, as identified through the methods of this study. High-income countries are defined by the World Bank Atlas method (Gross national income (GNI) per capita of USD 12,376) for 2020. As of 2020, there are 80 HICs (including unincorporated/overseas territories) across six global regions.
Figure 2Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram depicting the four-stage article process used identify, include and exclude (including and the reasons for exclusions) articles on the retail food sector and Indigenous Peoples in high income countries (HICs).
Figure 3Overview of the literature by year of publication.
Figure 4Overview of the literature by country.
Figure 5Overview of the literature by populational focus—Indigenous Peoples concerned.
Figure 6Overview of the literature by geography (as defined in the article).
Summary of studies examining food store availability and access.
| Reference | Setting 1 | Methods | Outcomes Examined | Conclusion | Relationship to Food Supply and/or Health | ||
|---|---|---|---|---|---|---|---|
| Country | Geography | Empirical | Respondent-Based | ||||
| [ | CA | Arctic and northern | Mapping | Survey of retail experience |
Retail competition (presence of a second retailer) Retail and shopping experience | There is limited retail competition in most | Respondents expressed concerns regarding food supply (availability, cost, quality and freshness) |
| [ | USA | Not specified | Mapping | Interviews |
Distance to, and density of, retail outlets (healthy vs. unhealthy) in relation to tribal area Perceptions and experiences of the food environment | Lower density of healthy food outlets in tribal areas compared to nontribal areas | Respondents perceived food environment negatively and ported barriers to the acquisition of healthy food |
| [ | CA | Rural | Asset mapping (youth) |
Places where youth acquire food (how they are perceived, and how to improve them for healthy living) | Gas station and convenience store were the only place to purchase groceries in the community | Available food was perceived to be of poor quality and recommended that healthier food be sold | |
| [ | USA | Rural; Urban | Inventorying |
Enumerating food outlets and match rate for secondary data and on-site observations for different types of food outlets | Secondary data sources both over- and under- estimate the food environment especially for nontraditional retailers | ||
| [ | USA | Rural; Remote | Inventorying (secondary data; telephone survey) |
Vendor characteristics (type, ownership) Food supply assessment (availability and price) | General characteristics of available stores (on Navajo Nation and Border Towns) are reported | Navajo convenience stores offered fewer healthier food options compared to Navajo | |
| [ | Guam | Island | On site observations |
Map of food stores (by type) in relation to participants Association to food supply, diet, and health | The majority of stores within a mile from participants were small markets | Living near a small market was negatively correlated with body mass index (BMI); while living near a convenience store was positively correlated | |
| [ | USA | Not specified | Inventorying (secondary data; telephone survey; site visitation) |
Type number and location of food stores Availability and cost of food | Half of stores identified on 22 American Indian reservations were convenience stores. A total of 17 | Across all stores, about 38% of checklist items were available, with foods from the dairy and sugars/sweets groups being the most available, while fresh fruits/vegetables being the least available. Cost of the most commonly available items was lowest in supermarkets | |
| [ | CA | Urban | Mapping (census and store location data) |
Supermarket within 800 meters by percentage of Indigenous residents (and other socio-economic/demographic info) | Supermarket exposure did not differ in neighborhoods with a higher percentage of Indigenous residents | ||
| [ | CA | General/National | Internet search |
Alternative food procurement locations (Indigenous food co-ops) | In total, 42 Indigenous food co-ops were identified (notably in northern Canada) | ||
1 Countries: CA = Canada; GU = Guam; USA = United States; Geography as self-defined in the study (except for Island states). ‘Arctic and northern’ includes the provincial North of Canada.
Summary of literature involving empirical food supply assessments
| Reference | Setting 1 | Store(s) Surveyed | Methods | Food Supply 2 | Connection to Diet and Health | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Country | Geography | Number of Stores/Communities | Store Type | Timepoints | Survey Tools 3 | Availability | Affordability (Cost) | Quality | Point of Purchase Promotion | ||
| [ | US | Rural | 18/2 | Convenience store | Single | NEMS-TCS | ✓ | ✓ | ✓ | ✓ | |
| [ | US | Rural | 27/1 | Several store types | Single | NEMS-S | ✓ | ✓ | |||
| [ | NZ | Rural; Urban | 392/98 | Supermarket | Single | NEMS-S | ✓ | ✓ | ✓ | ||
| [ | GU | Not specified | 114/ | Large and small stores | Single | NEMS-S | ✓ | ✓ | ✓ | ||
| [ | CA | Arctic and northern | /6 | Community stores | Seasonal | RNFB | ✓ | ✓ | |||
| [ | US | Arctic and northern | /13 | Community stores | Single | NEMS-S (Fresh produce only) | ✓ | ✓ | ✓ | BMI and diet reported but not related to food supply | |
| [ | US | Not specified. | 50/22 | Several store types | Single | TFP market basket | ✓ | ✓ | |||
| [ | AU | Several categories | 92/ | Not specified (stores previously surveyed) | Single (compared to 1998) | HFAB | ✓ | ✓ | |||
| [ | AU | Several categories | 144/ | Grocery stores and community stores | Single | HFAB | ✓ | ✓ | |||
| [ | US | Rural; Remote | 72/ | Several store types | Single | NEMS-S | ✓ | ✓ | ✓ | ||
| [ | GU, NC | Capital city | Country-level | Large stores (or chains) | Single | Protocol based on collaboration on nutrients in processed foods | ✓ | ✓ | |||
| [ | GU | Not specified | 100/ | Large and small stores | Single | In style of NEMS-S | ✓ | ||||
| [ | AU | Remote-compared to capital cities | 20/ | Community stores | Single | 453 items | ✓ | ||||
| [ | CA | Remote-compared to capital city | /3 | Community stores | Fall and winter | TNFB + additional foods (22 items) | ✓ | ||||
| [ | GL | Arctic and northern | 5/5 | Community stores | Single | NEMS-S | ✓ | ||||
1 Countries: AU = Australia; CA = Canada; GL = Greenland; GU = Guam; NC = New Caledonia; NZ = New Zealand; US = United States; Geographic setting as self-defined in the article. ‘Arctic and northern’ includes the provincial North of Canada; 2 Checkmark indicates studies which assessed the dimension of the food supply named; 3 HFAB = Healthy Food Access Basket; NEMS-TCS= Nutrition Environment Measures Survey for Tribal Convenience; NEMS-S=Nutrition Environment Measures Survey for Stores; RNFB= Revised Northern Food Basket; TFP = Thrifty food plan; TNFB= Thrifty Nutritious Food Basket (Agriculture Canada).
Summary of respondent-based studies that highlight issues of food supply and consumer experiences.
| Reference | Setting 1 | Participants | Food Supply 2 | Consumer and Shopping-Related Issues Discussed by Respondents | ||||
|---|---|---|---|---|---|---|---|---|
| Country | Geography | Availability | Affordability | Quality | Point of Purchase Promotion | |||
| [ | CA | Arctic and northern | Dene/Métis adults | ✓ | ✓ | ✓ | ||
| [ | US | Rural |
Primary household shoppers (American Indian) Other stakeholders | ✓ | ✓ | ✓ |
Shopping location Care access Government assistance programs (on the type and timing of foods purchase) | |
| [ | CA | Urban | Caregivers of Métis and off-reserve First Nations children | ✓ |
Reliance on energy-dense, nutrient-poor foods, as these tended to be more affordable and lasted longer than more nutritious, fresh food options Transportation-related issues | |||
| [ | CA | Six Nations of the Grand River | Adults (from Six Nations Reserve) | ✓ | ✓ |
Shopping location and frequency | ||
| [ | NZ | Auckland and Wellington | Māori and Pacific shoppers | ✓ | ✓ | ✓ |
Difficulty changing shopping behavior / habit Cost as a major barrier | |
| [ | US | Rural | American Indian adults | ✓ | ✓ | ✓ |
Frequency and location of shopping | |
| [ | US | Urban; Rural | Tribal leaders (American Indian) |
Shopping location | ||||
| [ | AU | Remote | Adults (Aboriginal) | ✓ |
Long-shelf-life food Pay cycles Available funds purchase less more expensive healthful foods | |||
| [ | CA | Arctic and northern |
Inuit adults Other stakeholders | ✓ | ✓ | ✓ |
High price making it challenging to obtain food of sufficient quality | |
| [ | CA | Arctic and northern |
Inuit women Other stakeholders | ✓ | ✓ | ✓ | ||
| [ | US | Urban | American Indian women |
Environmental constructs related to food purchasing, behaviour and body mass index | ||||
| [ | CA | Arctic and northern |
Inuit adults Other stakeholders | ✓ | ✓ |
Cost and quality main barriers to purchasing | ||
| [ | US | Navajo Nation |
Parents Other stakeholders | ✓ | ✓ |
Shopping when monthly support checks are distributed | ||
| [ | CA | Arctic and northern | Community members | ✓ | ✓ | ✓ |
Location of food purchase | |
| [ | CA | Arctic and northern |
Inuit women Other stakeholders | ✓ | ||||
| [ | CA | Arctic and northern | Indigenous women (First Nation, Dene/Métis, Inuit) | ✓ | ||||
| [ | CA | Arctic and northern (Rural) | Adults (First Nations) |
Location of food purchase | ||||
1 Countries: AU = Australia; CA = Canada; GL = Greenland; GU = Guam; NC = New Caledonia; NZ = New Zealand; US = United States; Geographic setting as self-defined in the article. ‘Arctic and northern’ includes the provincial North of Canada. If geographic setting was not stated in the study, the location of the intervention is included. 2 Checkmark indicates studies which respondents discussed issues related to the dimension of the food supply named.
Summary of intervention research 1 involving the retail sector 2 and Indigenous Peoples in HICs 3.
| Intervention Name | Setting 4 | Number of Intervention Stores/ | Intervention 6 | Process Evaluation | Evaluation and Impacts Examined 6 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Country | Geography or Location | Availability | Affordability | Quality | Point of Purchase Promotion | Design | Psychosocial | Diet or Purchase | Health | |||
| US | White Mountain and San Carlos Reservation | 11 (6)/2 reservations | ✓ | ✓ | Differed by level. | Quasi-experimental design (pre-test/post-test longitudinal study) | ✓ | ✓ | ||||
| US | Rural | /6 American Indian sites | ✓ | ✓ | Participant engagement, recruitment and retention | Group randomized controlled trial | ✓ | |||||
| AU | Remote | /3 | ✓ | Qualitative and quantitative evaluation | ✓ Community readiness Awareness of social marketing messages | ✓ | ||||||
| US | Hawaii | 5/2 (2) | ✓ | ✓ | High fidelity and moderate reach and dose reported | Pre/post-assessment of child-caregiver dyads in intervention and comparison communities | ✓ | ✓ | ||||
| CA | Arctic and northern | 9 food stores + 3 convenience stores /4(2) | ✓ | ✓ | Pre/post-assessment in intervention and comparison communities | ✓ | ✓ | ✓ | ||||
| AU | Remote | 1/1 | ✓ | ✓ | Trends in risk factors across the community after the start of the intervention were examined in 3 cross-sectional surveys | ✓ | ✓ | |||||
| US | Navajo Nation | Stores across Navajo Nation were invited to participate | ✓ | ✓ | Food environment assessment (fruits and vegetable index score) | Multi-phase longitudinal study; Cross sectional survey of shoppers at participating compared to non-participating stores | ✓ | |||||
| US | Navajo Nation | Total of 10 store regions across the Navajo Nation (5 immediate, 5 delayed) | ✓ | ✓ | Store-region randomized controlled intervention/ Pre-post differences by intervention group and by intervention exposure level | ✓ | ✓ | ✓ | ||||
| US | Rural | 25/total 5 (3 immediate, 2 delayed) | ✓ | ✓ |
Food store environmental checklist Food store process form Intervention exposure evaluation | Community randomized controlled trial | ✓ | ✓ | ✓ | |||
| NZ | Urban | 8/3 | ✓ | Factorial randomized controlled trial | ✓ | |||||||
| NZ | Not specified | 20/20 | ✓ | A stepped wedge randomized controlled trial | ✓ | ✓ | ||||||
| US | Rural | 4 (4)/2 Nations | ✓ | ✓ | ✓ | . High fidelity across strategies in the intervention reported | Cluster-controlled trial design with treatment conditions at the store level; Mixed-effects linear regression pre- to postintervention changes | ✓ | ✓ | |||
| CA | Arctic and northern | /7 First Nations in 4 sites total (2 delayed intervention) | ✓ | ✓ | Moderate fidelity at the store-level | Quasi-experimental pretest/post-test evaluation between intervention and comparison communities | ✓ | ✓ | ✓ | |||
1 The table summarizes published studies related to the interventions, obtained and retained through this literature review. Other articles related to the initiative (e.g., trial registration, formative research) may exist in the literature. 2 The table reports on the store-based, and participant, component of multi-sector interventions (i.e., intervention aspects related to other community food environment settings) are not reported here. 3 Global economies are commonly categorized by country across four income groupings: low, lower-middle, upper-middle, and high [185]. A country with a high-income economy is defined by the World Bank as a country with a gross national income per capita of USD 12,535 or more in 2019. Income is measured using gross national income (GNI) per capita, in U.S. dollars, converted from local currency using the World Bank Atlas method. 4 Countries: AU = Australia; CA = Canada; NZ = New Zealand; US = United States; Geographic setting as self-defined in the article. If geographic setting was not stated in the study, the location of the intervention is included. 5 Number of comparison/control communities and/or stores is indicated in brackets. 6 Checkmark indicates inclusion of element in study intervention or evaluation. Intervention outcome results are not reported in the table.
Summary of research gaps and challenges and proposed research needs and/or future directions.
| Dimension | Research Gaps and/or Challenge | Proposed Research Needs and/or Future Directions |
|---|---|---|
| Country |
Most research was set in Australia, the United States, Canada and New Zealand; few studies were available from all other HICs |
There is a need for studies examining the retail food sector among Indigenous Peoples in several HICs (e.g., French Polynesia, Panama, etc.) Through international collaboration, there is potential for developing and implementing comprehensive, adapted, and standardized tools, metrics, and frameworks for assessing and monitoring the retail food sector (and the impact of interventions therein) at local, national, and international levels |
| Geographic and populational setting |
Most research and interventions focus on issues within a geographically defined community—mostly in rural, remote, and northern regions Research involving Indigenous people in multi-ethnic and urban areas is limited and available research has highlighted the challenges of generating a valid evidence base by ethnic/social groups—notably challenges related to the recruitment and retention of under-represented populations |
Indigenous Peoples living outside of tribal/reservation lands, as well as landless tribes and Métis communities, comprise an important fraction of the Indigenous population in several HIC settings, and more research is needed to understand their experiences and interactions with the retail food sector |
| Temporal |
Most studies were observational, involving cross-sectional designs and/or were conducted during a single time point, making it impossible to ascertain differences across seasons and/or over time |
Seasonal and longitudinal frameworks for assessing and monitoring the retail food sector and interventions over time and across contexts are needed |
| Research approach and study design |
While most studies involved some level of community engagement and participation, we did not systematically appraise or characterize Indigenous involvement in research in this review There are few mixed and multi-method studies that include both empirical observations of the retail sector and community knowledge and perceptions thereof While community conceptualizations of food sector issues are often very broad (and include multiple overlapping dimensions and various scales), empirical assessments conducted in these settings are typically focused/ narrow (e.g., don’t take into consideration cultural context and preferences) |
Enhance reporting structures (as well as journal expectations for reporting structures) for Indigenous engagement in food-related research. Ideally, research should meaningfully support community capacity in research and the development of evidence-based policies that responds to local priorities Use qualitative and mixed/multimethod study designs (with a focus on Indigenous and decolonizing methodologies) to better capture complex community food issues. These study designs can play a key role in bridging the gap between local priorities/needs, nutrition and health assessments, food environment measures, and policies/interventions |
| Research tools |
Most studies involved standardized or adapted tools (few studies developed research instruments expressly for the local context). Although there is a wide range of food environment assessment instruments reported in the general literature, conventional methodologies can be ill-suited to Indigenous community settings, and the degree to which these measures are appropriate and relevant to Indigenous community contexts remains under-assessed |
There is a need for research instruments that are culturally-relevant, as well as valid and reliable for these contexts—in particular for small and nontraditional retailers and rural and remote contexts where secondary data sources both over- and under-represent such community food environment |
| Domains of the food sector assessed |
Few studies have included multiple dimensions of the food supply, such as both food cost and quality, within their assessments and or included mixed-methods or multiple data sources (e.g., store audits, point-of-sale data, as well and dietary and health data) |
Comprehensive assessments of multiple dimensions of the food supply (e.g., cost, availability), including how these interact with consumer factors (e.g., affordability, preferences, purchase), are needed. For example, the affordability of a theoretical healthy diet compared to the current diet (particularly when combined with detailed income and expense information) can be used for social policy planning and to advocate for fiscal policies (e.g., subsidies) Data derived from multiple sources (e.g., till receipts and store sales data and dietary information), particularly when representing different dimensions/levels of the food sector, can be highly complementary in developing food and nutrition policies and initiatives, and in monitoring changes in the food environment over time |
| Food items included |
Assessments of food environments often consider exclusively the presence of healthful items (based on checklists focusing on fruits, vegetables and other fresh and healthful items). Items included in food supply assessments are not necessarily representative of the complete store inventory, nor are they necessarily representative of community food purchasing patterns. Pricing surveys, for example, have often reported on food basket (or adapted food basket) costs, which include a limited subset of available foods, typically exclude discretionary items, and are not representative of food consumption or expenditure patterns. For example, although ultra-processed foods are prevalent in Indigenous Peoples diets [ |
Utilize a more holistic list of available items, including those highly consumed (e.g., discretionary energy-dense foods, prepared/convenience, processed foods), those which represent a good nutritional value for price, and those which are otherwise valued by community members (e.g., branded vs. generic products, foods that can be taken “on-the-land” during harvesting activities) Other metrics of food availability, such as the amount of retailer shelf-space allocated to healthful vs. discretionary food items, should also be assessed |
| Contextual factors |
Few studies include contextual factors or drivers influencing the local food environment and supply (e.g., geography, logistics, store operation and management practices) |
Studies should include the impact of circumstantial constraints (e.g., seasonal flooding/freezing and other weather-related dynamics in food shipping), and other social and economic dynamics (e.g., income support cycles) on the food supply (both market and traditional foods and their interactions), purchasing (e.g., compensatory purchasing), food security, and diet quality As the logistics of food retailing will be affected by climate change (e.g., shipping seasons) and related investments (e.g., new harbors in the Arctic), climate change should be included as an important determinant of local food supplies, and, ultimately, health, within research, policies and adaptation planning, involving the retail, and other, related sectors |
| Equity informed methods |
Few studies explicitly assess disparities in the food environment/supply (e.g., between Indigenous communities and other settings). There exist few (objective and subjective) measures that capture the opportunities and constraints to accessing food and health in these settings |
Respond to the call to apply a health equity lens to population-level food environment policies [ |
HICs = High income countries.